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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    occurrences of the word "that" followed by relevant information

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erenn
    -0.76
    aukee
    -0.68
    ãĤ©
    -0.66
    ogether
    -0.63
    raq
    -0.58
    oufl
    -0.56
    gly
    -0.56
    NM
    -0.56
    bern
    -0.55
    onder
    -0.55
    POSITIVE LOGITS
     [+
    0.62
     we
    0.62
     whilst
    0.60
     there
    0.57
     they
    0.57
     coma
    0.53
     ISPs
    0.53
    ndra
    0.53
     homosexuality
    0.53
     warranty
    0.53
    Activations Density 0.168%

    No Known Activations